Key Specifications

Specificationo1o1 mini
Vendoropenaiopenai
Versiono1o1-mini
Release Date2024-12-172024-09-12
Context Window200000 tokens128000 tokens
Input Modalitiestexttext
Output Modalitiestexttext
LicenseProprietaryProprietary
SOC2
HIPAA
GDPR
ISO 27001

Benchmark Results

Benchmarko1o1 miniWinner
ARC96.893.7o1
BBH83.177.2o1
GPQA57.540.8o1
GSM8K88.986.6o1
HUMANEVAL85.378o1
IFEVAL82.273.1o1
MATH55.744.2o1
MMLU86.378.2o1
MUSR71.854o1
WINOGRANDE86.778.3o1

Pricing Comparison

Tier (per Mtok)o1o1 mini
Input$15$3
Output$60$12
Cache Read$0$0
Cache Write$0$0

o1 gegen o1 mini

Modellübersicht

o1 and o1 mini are both notable options in the AI model market. This page compares their benchmarks, pricing, and compliance.

Hauptspezifikationen

AnbieterVeröffentlichungsdatumKontextfensterLizenz
Openai / Openai2024-12-17 / 2024-09-12200K / 128KProprietary / Proprietary

Benchmark-Leistung

Benchmarko1o1 miniGewinner
ARC96.893.7A
BBH (BIG-Bench Hard)83.177.2A
GPQA57.540.8A
GSM8K (Grade School Math 8K)88.986.6A
HumanEval85.378.0A
IFEval82.273.1A
MATH55.744.2A
MMLU (Massive Multitask Language Understanding)86.378.2A
MUSR71.854.0A
WinoGrande86.778.3A

Preisvergleich

EingabeAusgabeCache-LesenCache-Schreiben
— / —— / —— / —— / —

pro Million Token — A / B

Stärken & Schwächen

o1

  • ✅ MMLU score 86.3, strong knowledge reasoning.
  • ✅ HumanEval 85.3, excellent code generation.
  • ✅ GSM8K 88.9, robust math reasoning.
  • ⚠️ 闭源专有模型,不支持自托管。

o1 mini

  • ✅ GSM8K 86.6, robust math reasoning.
  • ⚠️ 闭源专有模型,不支持自托管。

Redaktionsmeinung

o1 and o1 mini each have their strengths. Choose based on workload (code, long context, vision), referencing the tables above.

FAQ

Which model is better for coding tasks?

Refer to the HumanEval benchmark table; the model with a higher score is better suited for coding tasks.

Which model is cheaper?

Refer to the pricing comparison table above; the model with lower input/output prices is more cost-effective.

Which has a longer context window?

Refer to the key specifications table; the model with a larger context window is better for long documents.

Referenzen

Editor's Take

See Editor's Take section.